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NeXtQSM - A complete deep learning pipeline for data-consistent quantitative susceptibility mapping trained with synthetic data

Author:Francesco Cognolato  Kieran O’Brien  Jin Jin  Simon Robinson  Markus Barth  Steffen Bollmann  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Improving Susceptibility Mapping: Greater Speed, Information & Accuracy  

Session Name:Susceptibility: Models & Mapping  

Program Number:3978  

Room Session:Concurrent 2  

Institution:Medical University of Vienna  The University of Queensland  Medical University of Graz  Siemens Healthcare Pty Ltd